I want to add labels to my vertical bar chart that display the current percentage value that corresponds to the current hight of the bar.
So I need to continuously update the percentage value and I also need a transition to make the text element move insync with the bar chart.
I tried this:
var percentageLabels = svg.selectAll(".percentage-label")
.data(dataset);
percentageLabels.remove();
percentageLabels
.enter()
.append("text")
.attr("class", "percentage-label")
.style("fill", "white")
.text(function(d) {
return d;
})
.attr("y", function(d) {
return y(d);
})
.attr("x", function(d, i) {
return i * (w / dataset.length) + 2.5 / 100 * w + w * 10/100;
})
.transition().duration(1750).ease("linear")
.attr("y", function(d) {
return y(d);
});
Check out the fiddle
I'd make a couple changes here. First, wrap the rect and the text in a g, so you only need to data-bind once. Then you are free to transition them together:
var uSel = svg.selectAll(".input")
.data(dataset); //<-- selection of gs
uSel.exit().remove(); //<-- anybody leaving? remove g (both rect and text)
var gs = uSel
.enter()
.append("g")
.attr("class", "input"); //<-- enter selection, append g
gs.append("rect")
.attr("fill", "rgb(250, 128, 114)"); //<-- enter selection, rect to g
gs.append("text")
.attr("class", "percentage-label")
.style("fill", "white")
.attr("x", function(d, i) {
return i * (w / dataset.length) + 2.5 / 100 * w + w * 10/100;
}); //<-- enter selection, text to g
uSel.select("rect")
.attr("x", function(d, i) {
return i * (w / dataset.length) + 2.5 / 100 * w;
})
.attr("width", w / dataset.length - barPadding)
.attr("height", y(0))
.transition().duration(1750).ease("linear")
.attr("y", function(d) {
return y(d);
})
.attr("height", function(d) {
return h - y(d);
}); //<-- update rects with transition
uSel.select("text")
.transition().duration(1750).ease("linear")
.attr("y", function(d) {
return y(d);
})
.text(function(d) {
return d + "%";
}); //<-- update text with transition
Updated fiddle.
EDITS
To transition the text, you are probably going to have to use a custom tween function:
uSel.select("text")
.transition().duration(1750).ease("linear")
.attr("y", function(d) {
return y(d); //<-- move the text
})
.tween("", function(d) {
var self = d3.select(this),
oldValue = y.invert(self.attr("y")), //<-- get the current value
i = d3.interpolateRound(oldValue, d); //<-- interpolate to new value
return function(t) {
self.text(i(t) + '%') <-- update the text on each iteration
};
});
Updated, updated fiddle.
From the docs:
The transition.each method can be used to chain transitions and apply shared timing across a set of transitions. For example:
d3.transition()
.duration(750)
.ease("linear")
.each(function() {
d3.selectAll(".foo").transition()
.style("opacity", 0)
.remove();
})
.transition()
.each(function() {
d3.selectAll(".bar").transition()
.style("opacity", 0)
.remove();
});
You might want to check out this: https://github.com/mbostock/d3/wiki/Transitions#tween
I am trying to create a bar chart with the dataset below. I am stuck on the part where the height[score] of the bar[country] is determined. How do I loop through the dataset to pull each score for a different country?
Any help would be greatly appreciated :)
var w = 500;
var h = 100;
var barPadding = 1;
var dataset = [
{"country":"Hong Kong","score":8.98},
{"country":"Singapore","score":8.54},
{"country":"New Zealand","score":8.19},
{"country":"Switzerland","score":8.09},
{"country":"Mauritius","score":8.98},
{"country":"United Arab Emirates","score":8.05},
{"country":"Canada","score":8.00},
{"country":"Australia","score":7.87},
{"country":"Jordan","score":7.86},
{"country":"Chile","score":7.84},
];
//Create SVG element
var svg = d3.select("body")
.append("svg")
.attr("width", w)
.attr("height", h);
svg.selectAll("rect")
.data(dataset)
.enter()
.append("rect")
.attr("x", function(d, i) {
return i * (w / dataset.length);
})
.attr("y", function(d) {
return h - (d * 4);
})
.attr("width", w / dataset.length - barPadding)
.attr("height", function(d) {
return d * 4;
});
In D3, once you load the data through the .data(dataset) command, you can now access each record of the data by inserting the anonymous function function(d, i) { } as you have done in a few of your attributes.
Since your dataset is:
var dataset = [
{"country":"Hong Kong","score":8.98},
{"country":"Singapore","score":8.54},
{"country":"New Zealand","score":8.19},
{"country":"Switzerland","score":8.09},
{"country":"Mauritius","score":8.98},
{"country":"United Arab Emirates","score":8.05},
{"country":"Canada","score":8.00},
{"country":"Australia","score":7.87},
{"country":"Jordan","score":7.86},
{"country":"Chile","score":7.84},
];
each d is a object record e.g. {"country":"Singapore","score":8.54}, while i refers to the index of the object d returned e.g. 1 for our example of d used above.
To access the score of the object record d, this becomes simple Javscript object notation i.e. d.score.
Hence your .attr call should look like:
.attr("height", function(d) {
return d.score * 4;
});
Similarly, you can extract the other fields e.g. country with d.country if you intend to use it in .attr("text", function(d) { return d.country; });
This is the real beauty and power of D3. If you ever want to expand your visualization with more features that is obtained through your data, then all you have to make sure is that your dataset data contains more data attributes, and you can call them later as you iterate through the anonymous functions. And D3 is in the spirit of its name, truly being "data-driven"! :)
You will need to fix d to d.score.
If you want to show country text, write svg.selectAll("text") after svg.selectAll("rect").
Like this:
var w = 500;
var h = 100;
var barPadding = 1;
var dataset = [
{"country":"Hong Kong","score":8.98},
{"country":"Singapore","score":8.54},
{"country":"New Zealand","score":8.19},
{"country":"Switzerland","score":8.09},
{"country":"Mauritius","score":8.98},
{"country":"United Arab Emirates","score":8.05},
{"country":"Canada","score":8.00},
{"country":"Australia","score":7.87},
{"country":"Jordan","score":7.86},
{"country":"Chile","score":7.84},
];
//Create SVG element
var svg = d3.select("body")
.append("svg")
.attr("width", w)
.attr("height", h);
svg.selectAll("rect")
.data(dataset)
.enter()
.append("rect")
.attr("x", function(d, i) {
return i * (w / dataset.length);
})
.attr("y", function(d) {
return h - (d.score * 4);
})
.attr("width", w / dataset.length - barPadding)
.attr("height", function(d) {
return d.score * 4;
});
svg.selectAll("text")
.data(dataset)
.enter()
.append("text")
.text(function(d) {
return d.country;
})
.attr("transform", function(d, i) {
var barW = w / dataset.length;
return "translate(" +
( barW * i + barW / 2 + barPadding ) + "," +
( h - 5 ) +
")rotate(-90)";
})
.attr("font-size", "8pt")
.attr("fill", "white");
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
Something like
For( var i =0; i<dataset.length; i++){
// Dataset[i].country
// dataset[i].score
}
You have an array of objects
I spent hours trying to figure out why my code was not working. I then arbitrarily moved my button code from after the D3 code (at the end between </script> and </body>) to the top (between <script type="text/javascript"> and <body>). It works now, but I don't know why. I don't want to make this mistake again or confuse myself in the future.
<body>
<button>Update</button>
<script type="text/javascript">
var w = 500;
var h = 500;
var barPadding = 1;
var dataset = [ ];
for (var i = 0; i < 14; i++) {var newNumber = Math.round(Math.random() * 70);
dataset.push(newNumber);}
//Create SVG element
var svg = d3.select("body")
.append("svg")
.attr("width", w)
.attr("height", h);
//Create Scales for Data conversion
var xScale = d3.scale.linear()
.domain([0, d3.max(dataset, function(d,i) {return d;})]) //input
.range([0,w]); // output
var yScale = d3.scale.ordinal()
.domain(d3.range(dataset.length))
.rangeRoundBands([0, h], 0.05); //Vertical separation + barpadding
svg.selectAll("rect")
.data(dataset)
.enter()
.append("rect")
.attr("x", 3)
.attr("y", function (d,i) {return yScale(i);})
.attr("width", function(d,i) {return xScale(d);})
.attr("height", yScale.rangeBand())
.attr("fill", function(d) {return "rgb(" + (d * 10) + ", 0,0 )";});
svg.selectAll("text")
.data(dataset)
.enter()
.append("text")
.text(function(d) {return d;})
.attr("x", function(d) {return xScale(d) -15;})
.attr("y", function(d, i) {return yScale(i) +5 +yScale.rangeBand() / 2;})
.attr("fill", "white")
.attr("font-family", "sans-serif")
.attr("text-anchor", "middle");
//Create Data Update and transition
d3.select("button")
.on("click", function() {
//New values for dataset
dataset = [ ];
for (var i = 0; i < 14; i++) {var newNumber = Math.round(Math.random() * 70);
dataset.push(newNumber);}
//Update all rects, and color gradient
svg.selectAll("rect")
.data(dataset)
.transition()
.attr("x", 3)
.attr("width", function(d,i) {return xScale(d);})
.attr("fill", function(d) {return "rgb(" + (d * 10) + ", 0,0 )";});
//Update text label and position
svg.selectAll("text")
.data(dataset)
.text(function(d) {return d;})
.attr("x", function(d) {return xScale(d) -15;})
.attr("y", function(d, i) {return yScale(i) +5 + yScale.rangeBand() / 2;});
});
</script>
</body>
If you're saying that the code as shown in your question works, with the <button> element before the <script> element, it's because <script> elements are executed as the browser encounters them, top-to-bottom while parsing the page. Which means that any JavaScript that you use is only able to reference elements that are higher in the page source because the browser doesn't know about the later elements yet.
Unless you have code within functions that don't get called until after the DOM is complete, for example if you assign a DOM ready or onload event handler, or a delegated click handler or something.
I have a d3.js barplot using some json data containing 12 elements. The data value I'm using for bar height is fpkm. I'm able to return that value as a callback to d3's data function- but only for half the elements.
My problem is that only the first half of the values are appearing in my barplot. I only get 6 rows corresponding to my first 6 values.
I made a fiddle here: http://jsfiddle.net/z9Mvt/
I can't seem to figure out why it's only using half the elements in my json.
Any help = appreciated.
html:
<div align='center' id="GECGplot" style='width:98%;text-align:center;'></plot>
and the js:
var gecgData= {"nodeName":"GECG","children":[{"nodeName":0,"nodeData":{"id":"643139","library_id":"SI_5589","gene_id":"ENSG00000157554","gene_short_name":"ERG","fpkm":"1.1241","fpkm_conf_lo":"0.898502","fpkm_conf_hi":"1.34969","fpkm_status":"OK","fpkm_percentile_compendium":"8.33","chr_id":"21","start":"39751948","end":"40033704","locus":"21:39751948-40033704","report":"0","tracking_id":null,"class_code":null,"nearest_ref":null,"tss_id":null,"length":null,"coverage":null,"fpkm_percentile_origin_tissue":null,"fpkm_percentile_collection_tissue":null,"fpkm_percentile_sample_cancer":null,"fpkm_fold_change_benign":null}},
{"nodeName":1,"nodeData":{"id":"872561","library_id":"SI_5596","gene_id":"ENSG00000157554","gene_short_name":"ERG","fpkm":"1.12666","fpkm_conf_lo":"0.871059","fpkm_conf_hi":"1.38226","fpkm_status":"OK","fpkm_percentile_compendium":"16.67","chr_id":"21","start":"39751948","end":"40033704","locus":"21:39751948-40033704","report":"0","tracking_id":null,"class_code":null,"nearest_ref":null,"tss_id":null,"length":null,"coverage":null,"fpkm_percentile_origin_tissue":null,"fpkm_percentile_collection_tissue":null,"fpkm_percentile_sample_cancer":null,"fpkm_fold_change_benign":null}},
{"nodeName":2,"nodeData":{"id":"1031623","library_id":"SI_5553","gene_id":"ENSG00000157554","gene_short_name":"ERG","fpkm":"1.21305","fpkm_conf_lo":"0.949369","fpkm_conf_hi":"1.47674","fpkm_status":"OK","fpkm_percentile_compendium":"25.00","chr_id":"21","start":"39751948","end":"40033704","locus":"21:39751948-40033704","report":"0","tracking_id":null,"class_code":null,"nearest_ref":null,"tss_id":null,"length":null,"coverage":null,"fpkm_percentile_origin_tissue":null,"fpkm_percentile_collection_tissue":null,"fpkm_percentile_sample_cancer":null,"fpkm_fold_change_benign":null}},
{"nodeName":3,"nodeData":{"id":"248423","library_id":"SI_5486","gene_id":"ENSG00000157554","gene_short_name":"ERG","fpkm":"1.98203","fpkm_conf_lo":"1.64888","fpkm_conf_hi":"2.31519","fpkm_status":"OK","fpkm_percentile_compendium":"33.33","chr_id":"21","start":"39751948","end":"40033704","locus":"21:39751948-40033704","report":"0","tracking_id":null,"class_code":null,"nearest_ref":null,"tss_id":null,"length":null,"coverage":null,"fpkm_percentile_origin_tissue":null,"fpkm_percentile_collection_tissue":null,"fpkm_percentile_sample_cancer":null,"fpkm_fold_change_benign":null}},
{"nodeName":4,"nodeData":{"id":"1039674","library_id":"SI_5554","gene_id":"ENSG00000157554","gene_short_name":"ERG","fpkm":"2.24514","fpkm_conf_lo":"1.83333","fpkm_conf_hi":"2.65696","fpkm_status":"OK","fpkm_percentile_compendium":"41.67","chr_id":"21","start":"39751948","end":"40033704","locus":"21:39751948-40033704","report":"0","tracking_id":null,"class_code":null,"nearest_ref":null,"tss_id":null,"length":null,"coverage":null,"fpkm_percentile_origin_tissue":null,"fpkm_percentile_collection_tissue":null,"fpkm_percentile_sample_cancer":null,"fpkm_fold_change_benign":null}},
{"nodeName":5,"nodeData":{"id":"304849","library_id":"SI_5485","gene_id":"ENSG00000157554","gene_short_name":"ERG","fpkm":"2.29868","fpkm_conf_lo":"2.02514","fpkm_conf_hi":"2.57221","fpkm_status":"OK","fpkm_percentile_compendium":"50.00","chr_id":"21","start":"39751948","end":"40033704","locus":"21:39751948-40033704","report":"0","tracking_id":null,"class_code":null,"nearest_ref":null,"tss_id":null,"length":null,"coverage":null,"fpkm_percentile_origin_tissue":null,"fpkm_percentile_collection_tissue":null,"fpkm_percentile_sample_cancer":null,"fpkm_fold_change_benign":null}},
{"nodeName":6,"nodeData":{"id":"417495","library_id":"SI_5484","gene_id":"ENSG00000157554","gene_short_name":"ERG","fpkm":"2.61196","fpkm_conf_lo":"2.28949","fpkm_conf_hi":"2.93442","fpkm_status":"OK","fpkm_percentile_compendium":"58.33","chr_id":"21","start":"39751948","end":"40033704","locus":"21:39751948-40033704","report":"0","tracking_id":null,"class_code":null,"nearest_ref":null,"tss_id":null,"length":null,"coverage":null,"fpkm_percentile_origin_tissue":null,"fpkm_percentile_collection_tissue":null,"fpkm_percentile_sample_cancer":null,"fpkm_fold_change_benign":null}},
{"nodeName":7,"nodeData":{"id":"928522","library_id":"SI_5595","gene_id":"ENSG00000157554","gene_short_name":"ERG","fpkm":"2.94397","fpkm_conf_lo":"2.61962","fpkm_conf_hi":"3.26832","fpkm_status":"OK","fpkm_percentile_compendium":"66.67","chr_id":"21","start":"39751948","end":"40033704","locus":"21:39751948-40033704","report":"0","tracking_id":null,"class_code":null,"nearest_ref":null,"tss_id":null,"length":null,"coverage":null,"fpkm_percentile_origin_tissue":null,"fpkm_percentile_collection_tissue":null,"fpkm_percentile_sample_cancer":null,"fpkm_fold_change_benign":null}},
{"nodeName":8,"nodeData":{"id":"622876","library_id":"SI_5552","gene_id":"ENSG00000157554","gene_short_name":"ERG","fpkm":"3.27303","fpkm_conf_lo":"2.79509","fpkm_conf_hi":"3.75097","fpkm_status":"OK","fpkm_percentile_compendium":"75.00","chr_id":"21","start":"39751948","end":"40033704","locus":"21:39751948-40033704","report":"0","tracking_id":null,"class_code":null,"nearest_ref":null,"tss_id":null,"length":null,"coverage":null,"fpkm_percentile_origin_tissue":null,"fpkm_percentile_collection_tissue":null,"fpkm_percentile_sample_cancer":null,"fpkm_fold_change_benign":null}},
{"nodeName":9,"nodeData":{"id":"50230","library_id":"SI_5487","gene_id":"ENSG00000157554","gene_short_name":"ERG","fpkm":"9.88611","fpkm_conf_lo":"8.6495","fpkm_conf_hi":"11.1227","fpkm_status":"OK","fpkm_percentile_compendium":"83.33","chr_id":"21","start":"39751948","end":"40033704","locus":"21:39751948-40033704","report":"0","tracking_id":null,"class_code":null,"nearest_ref":null,"tss_id":null,"length":null,"coverage":null,"fpkm_percentile_origin_tissue":null,"fpkm_percentile_collection_tissue":null,"fpkm_percentile_sample_cancer":null,"fpkm_fold_change_benign":null}},
{"nodeName":10,"nodeData":{"id":"816444","library_id":"SI_5594","gene_id":"ENSG00000157554","gene_short_name":"ERG","fpkm":"15.1868","fpkm_conf_lo":"13.8218","fpkm_conf_hi":"16.5519","fpkm_status":"OK","fpkm_percentile_compendium":"91.67","chr_id":"21","start":"39751948","end":"40033704","locus":"21:39751948-40033704","report":"0","tracking_id":null,"class_code":null,"nearest_ref":null,"tss_id":null,"length":null,"coverage":null,"fpkm_percentile_origin_tissue":null,"fpkm_percentile_collection_tissue":null,"fpkm_percentile_sample_cancer":null,"fpkm_fold_change_benign":null}},
{"nodeName":11,"nodeData":{"id":"496931","library_id":"SI_5551","gene_id":"ENSG00000157554","gene_short_name":"ERG","fpkm":"52.249","fpkm_conf_lo":"50.8217","fpkm_conf_hi":"53.6763","fpkm_status":"OK","fpkm_percentile_compendium":"100.00","chr_id":"21","start":"39751948","end":"40033704","locus":"21:39751948-40033704","report":"0","tracking_id":null,"class_code":null,"nearest_ref":null,"tss_id":null,"length":null,"coverage":null,"fpkm_percentile_origin_tissue":null,"fpkm_percentile_collection_tissue":null,"fpkm_percentile_sample_cancer":null,"fpkm_fold_change_benign":null}}]}
;
//Width and height
// var w = $('#GECGplot').width();
var w = 700;
var h = 300;
var barPadding = 1;
var margin = {top: 40, right: 10, bottom: 20, left: 10};
var xScale = d3.scale.linear().
domain([0, 20]). // your data minimum and maximum
range([0, h]); // the pixels to map to, e.g., the width of the diagram.
//Create SVG element
var svg = d3.select("#GECGplot")
.append("svg")
.attr("width", w)
.attr("height", h);
svg.selectAll("rect")
// .data(dataset)
.data(function(d, i) {
return plotData[i].nodeData.fpkm;
})
.enter()
.append("rect")
.attr("x", function(d, i) {
// alert(plotData.length);
return i * (w / plotData.length);
})
.attr("y", function(d, i) {
alert(plotData[i].nodeData.fpkm);
return h - (plotData[i].nodeData.fpkm * 50); //Height minus data value
})
.attr("width", w / plotData.length - barPadding)
.attr("height", function(d, i) {
return plotData[i].nodeData.fpkm * 50; //Just the data value
})
.attr("fill", function(d, i) {
return "rgb(0, 0, " + (plotData[i].nodeData.fpkm * 50) + ")";
})
svg.selectAll("text")
.data(function(d, i) {
return plotData[i].nodeData.fpkm;
})
.enter()
.append("text")
.text(function(d, i) {
return plotData[i].nodeData.fpkm;
})
.attr("font-family", "sans-serif")
.attr("font-size", "11px")
.attr("fill", "white")
.attr("text-anchor", "middle")
.attr("x", function(d, i) {
return i * (w / plotData.length) + (w / plotData.length - barPadding) / 2;
})
.attr("y", function(d, i) {
return h - (plotData[i].nodeData.fpkm * 50) + 14;
})
// alert(tableSchema);
Here you go. You bind the array "children" to the rectangle elements so you dont need the argument 'i' to access the value you need.
Also, I would recommend using the d3.scale.ordinal() for your x axis as opposed to calculating it explicitly from the data. Litte more flexible.
http://jsfiddle.net/Cef4D/
svg.selectAll("rect")
.data(plotData)
.enter().append("rect")
.attr("x", function(d, i) {return i * (w / plotData.length);})
.attr("y", function(d) {
return h - (d.nodeData.fpkm * 50); //Height minus data value
})
.attr("width", w / plotData.length - barPadding)
.attr("height", function(d, i) {
return d.nodeData.fpkm * 50; //Just the data value
})
.attr("fill", function(d, i) {
return "rgb(0, 0, " + (d.nodeData.fpkm * 50) + ")";
})